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gtsam 4.1.1
gtsam
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A Gaussian factor using the canonical parameters (information form)
HessianFactor implements a general quadratic factor of the form
\[ E(x) = 0.5 x^T G x - x^T g + 0.5 f \]
that stores the matrix \( G \), the vector \( g \), and the constant term \( f \).
When \( G \) is positive semidefinite, this factor represents a Gaussian, in which case \( G \) is the information matrix \( \Lambda \), \( g \) is the information vector \( \eta \), and \( f \) is the residual sum-square-error at the mean, when \( x = \mu \).
Indeed, the negative log-likelihood of a Gaussian is (up to a constant) \( E(x) = 0.5(x-\mu)^T P^{-1} (x-\mu) \) with \( \mu \) the mean and \( P \) the covariance matrix. Expanding the product we get
\[ E(x) = 0.5 x^T P^{-1} x - x^T P^{-1} \mu + 0.5 \mu^T P^{-1} \mu \]
We define the Information matrix (or Hessian) \( \Lambda = P^{-1} \) and the information vector \( \eta = P^{-1} \mu = \Lambda \mu \) to arrive at the canonical form of the Gaussian:
\[ E(x) = 0.5 x^T \Lambda x - x^T \eta + 0.5 \mu^T \Lambda \mu \]
This factor is one of the factors that can be in a GaussianFactorGraph. It may be returned from NonlinearFactor::linearize(), but is also used internally to store the Hessian during Cholesky elimination.
This can represent a quadratic factor with characteristics that cannot be represented using a JacobianFactor (which has the form \( E(x) = \Vert Ax - b \Vert^2 \) and stores the Jacobian \( A \) and error vector \( b \), i.e. is a sum-of-squares factor). For example, a HessianFactor need not be positive semidefinite, it can be indefinite or even negative semidefinite.
If a HessianFactor is indefinite or negative semi-definite, then in order for solving the linear system to be possible, the Hessian of the full system must be positive definite (i.e. when all small Hessians are combined, the result must be positive definite). If this is not the case, an error will occur during elimination.
This class stores G, g, and f as an augmented matrix HessianFactor::matrix_. The upper-left n x n blocks of HessianFactor::matrix_ store the upper-right triangle of G, the upper-right-most column of length n of HessianFactor::matrix_ stores g, and the lower-right entry of HessianFactor::matrix_ stores f, i.e.
Blocks can be accessed as follows:
Public Member Functions | |
| HessianFactor () | |
| default constructor for I/O | |
| HessianFactor (Key j, const Matrix &G, const Vector &g, double f) | |
| Construct a unary factor. More... | |
| HessianFactor (Key j, const Vector &mu, const Matrix &Sigma) | |
| Construct a unary factor, given a mean and covariance matrix. More... | |
| HessianFactor (Key j1, Key j2, const Matrix &G11, const Matrix &G12, const Vector &g1, const Matrix &G22, const Vector &g2, double f) | |
| Construct a binary factor. More... | |
| HessianFactor (Key j1, Key j2, Key j3, const Matrix &G11, const Matrix &G12, const Matrix &G13, const Vector &g1, const Matrix &G22, const Matrix &G23, const Vector &g2, const Matrix &G33, const Vector &g3, double f) | |
| Construct a ternary factor. More... | |
| HessianFactor (const KeyVector &js, const std::vector< Matrix > &Gs, const std::vector< Vector > &gs, double f) | |
| Construct an n-way factor. More... | |
| template<typename KEYS > | |
| HessianFactor (const KEYS &keys, const SymmetricBlockMatrix &augmentedInformation) | |
| Constructor with an arbitrary number of keys and with the augmented information matrix specified as a block matrix. | |
| HessianFactor (const JacobianFactor &cg) | |
| Construct from a JacobianFactor (or from a GaussianConditional since it derives from it) | |
| HessianFactor (const GaussianFactor &factor) | |
| Attempt to construct from any GaussianFactor - currently supports JacobianFactor, HessianFactor, GaussianConditional, or any derived classes. | |
| HessianFactor (const GaussianFactorGraph &factors, const Scatter &scatter) | |
| Combine a set of factors into a single dense HessianFactor. | |
| HessianFactor (const GaussianFactorGraph &factors) | |
| Combine a set of factors into a single dense HessianFactor. | |
| ~HessianFactor () override | |
| Destructor. | |
| GaussianFactor::shared_ptr | clone () const override |
| Clone this HessianFactor. More... | |
| void | print (const std::string &s="", const KeyFormatter &formatter=DefaultKeyFormatter) const override |
| Print the factor for debugging and testing (implementing Testable) More... | |
| bool | equals (const GaussianFactor &lf, double tol=1e-9) const override |
| Compare to another factor for testing (implementing Testable) More... | |
| double | error (const VectorValues &c) const override |
| Evaluate the factor error f(x). More... | |
| DenseIndex | getDim (const_iterator variable) const override |
| Return the dimension of the variable pointed to by the given key iterator todo: Remove this in favor of keeping track of dimensions with variables? More... | |
| size_t | rows () const |
| Return the number of columns and rows of the Hessian matrix, including the information vector. | |
| GaussianFactor::shared_ptr | negate () const override |
| Construct the corresponding anti-factor to negate information stored stored in this factor. More... | |
| bool | empty () const override |
| Check if the factor is empty. More... | |
| double | constantTerm () const |
| Return the constant term \( f \) as described above. More... | |
| double & | constantTerm () |
| Return the constant term \( f \) as described above. More... | |
| SymmetricBlockMatrix::constBlock | linearTerm (const_iterator j) const |
| Return the part of linear term \( g \) as described above corresponding to the requested variable. More... | |
| SymmetricBlockMatrix::constBlock | linearTerm () const |
| Return the complete linear term \( g \) as described above. More... | |
| SymmetricBlockMatrix::Block | linearTerm () |
| Return the complete linear term \( g \) as described above. More... | |
| const SymmetricBlockMatrix & | info () const |
| Return underlying information matrix. | |
| SymmetricBlockMatrix & | info () |
| Return non-const information matrix. More... | |
| Matrix | augmentedInformation () const override |
| Return the augmented information matrix represented by this GaussianFactor. More... | |
| Eigen::SelfAdjointView< SymmetricBlockMatrix::constBlock, Eigen::Upper > | informationView () const |
| Return self-adjoint view onto the information matrix (NOT augmented). | |
| Matrix | information () const override |
| Return the non-augmented information matrix represented by this GaussianFactor. More... | |
| void | hessianDiagonalAdd (VectorValues &d) const override |
| Add the current diagonal to a VectorValues instance. More... | |
| void | hessianDiagonal (double *d) const override |
| Raw memory access version of hessianDiagonal. More... | |
| std::map< Key, Matrix > | hessianBlockDiagonal () const override |
| Return the block diagonal of the Hessian for this factor. More... | |
| std::pair< Matrix, Vector > | jacobian () const override |
| Return (dense) matrix associated with factor. More... | |
| Matrix | augmentedJacobian () const override |
| Return (dense) matrix associated with factor The returned system is an augmented matrix: [A b]. More... | |
| void | updateHessian (const KeyVector &keys, SymmetricBlockMatrix *info) const override |
| Update an information matrix by adding the information corresponding to this factor (used internally during elimination). More... | |
| void | updateHessian (HessianFactor *other) const |
| Update another Hessian factor. More... | |
| void | multiplyHessianAdd (double alpha, const VectorValues &x, VectorValues &y) const override |
| y += alpha * A'*A*x More... | |
| VectorValues | gradientAtZero () const override |
| eta for Hessian More... | |
| void | gradientAtZero (double *d) const override |
| Raw memory access version of gradientAtZero. More... | |
| Vector | gradient (Key key, const VectorValues &x) const override |
| Compute the gradient at a key: \grad f(x_i) = \sum_j G_ij*x_j - g_i. More... | |
| boost::shared_ptr< GaussianConditional > | eliminateCholesky (const Ordering &keys) |
| In-place elimination that returns a conditional on (ordered) keys specified, and leaves this factor to be on the remaining keys (separator) only. More... | |
| VectorValues | solve () |
| Solve the system A'*A delta = A'*b in-place, return delta as VectorValues. | |
| Public Member Functions inherited from gtsam::GaussianFactor | |
| GaussianFactor () | |
| Default constructor creates empty factor. | |
| template<typename CONTAINER > | |
| GaussianFactor (const CONTAINER &keys) | |
| Construct from container of keys. More... | |
| virtual | ~GaussianFactor () |
| Destructor. | |
| void | print (const std::string &s="", const KeyFormatter &formatter=DefaultKeyFormatter) const override=0 |
| print More... | |
| virtual bool | equals (const GaussianFactor &lf, double tol=1e-9) const =0 |
| Equals for testable. More... | |
| virtual double | error (const VectorValues &c) const =0 |
| Print for testable. More... | |
| virtual DenseIndex | getDim (const_iterator variable) const =0 |
| 0.5*(A*x-b)'D(A*x-b) More... | |
| virtual Matrix | augmentedJacobian () const =0 |
| Return a dense \( [ \;A\;b\; ] \in \mathbb{R}^{m \times n+1} \) Jacobian matrix, augmented with b with the noise models baked into A and b. More... | |
| virtual std::pair< Matrix, Vector > | jacobian () const =0 |
| Return the dense Jacobian \( A \) and right-hand-side \( b \), with the noise models baked into A and b. More... | |
| virtual Matrix | augmentedInformation () const =0 |
| Return the augmented information matrix represented by this GaussianFactor. More... | |
| virtual Matrix | information () const =0 |
| Return the non-augmented information matrix represented by this GaussianFactor. More... | |
| VectorValues | hessianDiagonal () const |
| Return the diagonal of the Hessian for this factor. | |
| virtual void | hessianDiagonalAdd (VectorValues &d) const =0 |
| Add the current diagonal to a VectorValues instance. More... | |
| virtual void | hessianDiagonal (double *d) const =0 |
| Raw memory access version of hessianDiagonal. More... | |
| virtual std::map< Key, Matrix > | hessianBlockDiagonal () const =0 |
| Return the block diagonal of the Hessian for this factor. More... | |
| virtual GaussianFactor::shared_ptr | clone () const =0 |
| Clone a factor (make a deep copy) More... | |
| virtual bool | empty () const =0 |
| Test whether the factor is empty. More... | |
| virtual GaussianFactor::shared_ptr | negate () const =0 |
| Construct the corresponding anti-factor to negate information stored stored in this factor. More... | |
| virtual void | updateHessian (const KeyVector &keys, SymmetricBlockMatrix *info) const =0 |
| Update an information matrix by adding the information corresponding to this factor (used internally during elimination). More... | |
| virtual void | multiplyHessianAdd (double alpha, const VectorValues &x, VectorValues &y) const =0 |
| y += alpha * A'*A*x More... | |
| virtual VectorValues | gradientAtZero () const =0 |
| A'*b for Jacobian, eta for Hessian. More... | |
| virtual void | gradientAtZero (double *d) const =0 |
| Raw memory access version of gradientAtZero. More... | |
| virtual Vector | gradient (Key key, const VectorValues &x) const =0 |
| Gradient wrt a key at any values. More... | |
| Public Member Functions inherited from gtsam::Factor | |
| virtual | ~Factor ()=default |
| Default destructor. | |
| KeyVector & | keys () |
| iterator | begin () |
| Iterator at beginning of involved variable keys. | |
| iterator | end () |
| Iterator at end of involved variable keys. | |
| virtual void | printKeys (const std::string &s="Factor", const KeyFormatter &formatter=DefaultKeyFormatter) const |
| print only keys More... | |
| Key | front () const |
| First key. | |
| Key | back () const |
| Last key. | |
| const_iterator | find (Key key) const |
| find | |
| const KeyVector & | keys () const |
| Access the factor's involved variable keys. | |
| const_iterator | begin () const |
| Iterator at beginning of involved variable keys. | |
| const_iterator | end () const |
| Iterator at end of involved variable keys. | |
| size_t | size () const |
Public Types | |
| typedef GaussianFactor | Base |
| Typedef to base class. | |
| typedef HessianFactor | This |
| Typedef to this class. | |
| typedef boost::shared_ptr< This > | shared_ptr |
| A shared_ptr to this class. | |
| typedef SymmetricBlockMatrix::Block | Block |
| A block from the Hessian matrix. | |
| typedef SymmetricBlockMatrix::constBlock | constBlock |
| A block from the Hessian matrix (const version) | |
| Public Types inherited from gtsam::GaussianFactor | |
| typedef GaussianFactor | This |
| This class. | |
| typedef boost::shared_ptr< This > | shared_ptr |
| shared_ptr to this class | |
| typedef Factor | Base |
| Our base class. | |
| Public Types inherited from gtsam::Factor | |
| typedef KeyVector::iterator | iterator |
| Iterator over keys. | |
| typedef KeyVector::const_iterator | const_iterator |
| Const iterator over keys. | |
Protected Attributes | |
| SymmetricBlockMatrix | info_ |
| The full augmented information matrix, s.t. the quadratic error is 0.5*[x -1]'H[x -1]. | |
| Protected Attributes inherited from gtsam::Factor | |
| KeyVector | keys_ |
| The keys involved in this factor. | |
Friends | |
| class | NonlinearFactorGraph |
| class | NonlinearClusterTree |
| class | boost::serialization::access |
| Serialization function. | |
Additional Inherited Members | |
| Static Public Member Functions inherited from gtsam::GaussianFactor | |
| template<typename CONTAINER > | |
| static DenseIndex | Slot (const CONTAINER &keys, Key key) |
| Protected Member Functions inherited from gtsam::Factor | |
| Factor () | |
| Default constructor for I/O. | |
| template<typename CONTAINER > | |
| Factor (const CONTAINER &keys) | |
| Construct factor from container of keys. More... | |
| template<typename ITERATOR > | |
| Factor (ITERATOR first, ITERATOR last) | |
| Construct factor from iterator keys. More... | |
| bool | equals (const This &other, double tol=1e-9) const |
| check equality | |
| Static Protected Member Functions inherited from gtsam::Factor | |
| template<typename CONTAINER > | |
| static Factor | FromKeys (const CONTAINER &keys) |
| Construct factor from container of keys. More... | |
| template<typename ITERATOR > | |
| static Factor | FromIterators (ITERATOR first, ITERATOR last) |
| Construct factor from iterator keys. More... | |
| gtsam::HessianFactor::HessianFactor | ( | Key | j, |
| const Matrix & | G, | ||
| const Vector & | g, | ||
| double | f | ||
| ) |
Construct a unary factor.
G is the quadratic term (Hessian matrix), g the linear term (a vector), and f the constant term. The quadratic error is: 0.5*(f - 2*x'*g + x'*G*x)
| gtsam::HessianFactor::HessianFactor | ( | Key | j, |
| const Vector & | mu, | ||
| const Matrix & | Sigma | ||
| ) |
Construct a unary factor, given a mean and covariance matrix.
error is 0.5*(x-mu)'inv(Sigma)(x-mu)
| gtsam::HessianFactor::HessianFactor | ( | Key | j1, |
| Key | j2, | ||
| const Matrix & | G11, | ||
| const Matrix & | G12, | ||
| const Vector & | g1, | ||
| const Matrix & | G22, | ||
| const Vector & | g2, | ||
| double | f | ||
| ) |
Construct a binary factor.
Gxx are the upper-triangle blocks of the quadratic term (the Hessian matrix), gx the pieces of the linear vector term, and f the constant term. JacobianFactor error is
\[ 0.5* (Ax-b)' M (Ax-b) = 0.5*x'A'MAx - x'A'Mb + 0.5*b'Mb \]
HessianFactor error is
\[ 0.5*(x'Gx - 2x'g + f) = 0.5*x'Gx - x'*g + 0.5*f \]
So, with \( A = [A1 A2] \) and \( G=A*'M*A = [A1';A2']*M*[A1 A2] \) we have
| gtsam::HessianFactor::HessianFactor | ( | Key | j1, |
| Key | j2, | ||
| Key | j3, | ||
| const Matrix & | G11, | ||
| const Matrix & | G12, | ||
| const Matrix & | G13, | ||
| const Vector & | g1, | ||
| const Matrix & | G22, | ||
| const Matrix & | G23, | ||
| const Vector & | g2, | ||
| const Matrix & | G33, | ||
| const Vector & | g3, | ||
| double | f | ||
| ) |
Construct a ternary factor.
Gxx are the upper-triangle blocks of the quadratic term (the Hessian matrix), gx the pieces of the linear vector term, and f the constant term.
| gtsam::HessianFactor::HessianFactor | ( | const KeyVector & | js, |
| const std::vector< Matrix > & | Gs, | ||
| const std::vector< Vector > & | gs, | ||
| double | f | ||
| ) |
Construct an n-way factor.
Gs contains the upper-triangle blocks of the quadratic term (the Hessian matrix) provided in row-order, gs the pieces of the linear vector term, and f the constant term.
|
overridevirtual |
Return the augmented information matrix represented by this GaussianFactor.
The augmented information matrix contains the information matrix with an additional column holding the information vector, and an additional row holding the transpose of the information vector. The lower-right entry contains the constant error term (when \( \delta x = 0 \)). The augmented information matrix is described in more detail in HessianFactor, which in fact stores an augmented information matrix.
For HessianFactor, this is the same as info() except that this function returns a complete symmetric matrix whereas info() returns a matrix where only the upper triangle is valid, but should be interpreted as symmetric. This is because info() returns only a reference to the internal representation of the augmented information matrix, which stores only the upper triangle.
Implements gtsam::GaussianFactor.
|
overridevirtual |
Return (dense) matrix associated with factor The returned system is an augmented matrix: [A b].
| set | weight to use whitening to bake in weights |
Implements gtsam::GaussianFactor.
|
inlineoverridevirtual |
Clone this HessianFactor.
Implements gtsam::GaussianFactor.
|
inline |
Return the constant term \( f \) as described above.
|
inline |
Return the constant term \( f \) as described above.
| boost::shared_ptr< GaussianConditional > gtsam::HessianFactor::eliminateCholesky | ( | const Ordering & | keys | ) |
In-place elimination that returns a conditional on (ordered) keys specified, and leaves this factor to be on the remaining keys (separator) only.
Does dense partial Cholesky.
|
inlineoverridevirtual |
|
overridevirtual |
Compare to another factor for testing (implementing Testable)
Implements gtsam::GaussianFactor.
|
overridevirtual |
Evaluate the factor error f(x).
returns 0.5*[x -1]'H[x -1] (also see constructor documentation)
Implements gtsam::GaussianFactor.
|
inlineoverridevirtual |
Return the dimension of the variable pointed to by the given key iterator todo: Remove this in favor of keeping track of dimensions with variables?
| variable | An iterator pointing to the slot in this factor. You can use, for example, begin() + 2 to get the 3rd variable in this factor. |
Implements gtsam::GaussianFactor.
|
overridevirtual |
Compute the gradient at a key: \grad f(x_i) = \sum_j G_ij*x_j - g_i.
Implements gtsam::GaussianFactor.
|
overridevirtual |
eta for Hessian
Implements gtsam::GaussianFactor.
|
overridevirtual |
Raw memory access version of gradientAtZero.
Implements gtsam::GaussianFactor.
Reimplemented in gtsam::RegularHessianFactor< D >.
|
overridevirtual |
Return the block diagonal of the Hessian for this factor.
Implements gtsam::GaussianFactor.
|
overridevirtual |
Raw memory access version of hessianDiagonal.
Implements gtsam::GaussianFactor.
Reimplemented in gtsam::RegularHessianFactor< D >.
|
overridevirtual |
Add the current diagonal to a VectorValues instance.
Implements gtsam::GaussianFactor.
|
inline |
Return non-const information matrix.
TODO(gareth): Review the sanity of having non-const access to this.
|
overridevirtual |
Return the non-augmented information matrix represented by this GaussianFactor.
Implements gtsam::GaussianFactor.
|
overridevirtual |
Return (dense) matrix associated with factor.
Implements gtsam::GaussianFactor.
|
inline |
Return the complete linear term \( g \) as described above.
|
inline |
Return the complete linear term \( g \) as described above.
|
inline |
Return the part of linear term \( g \) as described above corresponding to the requested variable.
| j | Which block row to get, as an iterator pointing to the slot in this factor. You can use, for example, begin() + 2 to get the 3rd variable in this factor. |
|
overridevirtual |
y += alpha * A'*A*x
Implements gtsam::GaussianFactor.
Reimplemented in gtsam::RegularHessianFactor< D >.
|
overridevirtual |
Construct the corresponding anti-factor to negate information stored stored in this factor.
Implements gtsam::GaussianFactor.
|
overridevirtual |
Print the factor for debugging and testing (implementing Testable)
Implements gtsam::GaussianFactor.
|
overridevirtual |
Update an information matrix by adding the information corresponding to this factor (used internally during elimination).
| keys | THe ordered vector of keys for the information matrix to be updated |
| info | The information matrix to be updated |
Implements gtsam::GaussianFactor.
|
inline |
Update another Hessian factor.
| other | the HessianFactor to be updated |


Library of Sages Director Sophia:
Only four digits? Hmm... that must be very old text. We use 12-digits these days. Unfortunately, many of our old records were destroyed, so we may not be able to locate it.
Let me look.
"I'll wait."


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Tech-Stack¶
In general the word “tech-stack” can be defined as “a combination of programming languages, frameworks, and tools that developers use” in order to create their challenge [per21]. This can be Python, JavaScript, R, Docker, Draw.io, and so on and so forth. Basically, every tool you use in order to fulfill your task. In the here following chapter we will introduce some tools to you, explain them a bit and give you some hints where you can start researching them a bit more if you should be interested. Overall, a good Tech-Stack is a good thing to have.
Draw.io¶
Draw.io is a tool for an easy creation of flowcharts. You can download it as a desktop app for free and use it how you want. What one mostly does with it, is to create flowcharts of code. Normally every documentation of a repository or a project should have one. It eases the access to understand what the general idea of a project is. Some good tutorials can be found here [drawio21].
Python¶
Everyone of you have already probably heard of Python. It is a well known programming language which is mostly used for Machine Learning, or in less fancier terms, predictive statistics. Its syntax is quite accessible and, after some interaction, understandable (We know, in the beginning its a lot to comprehend, but head over to the Beginners section to get a good introduction into Python). Python is an open-source project and it is always developed further and further. In general, there are always new version of Python on the market. In the time of writing this section, the current version is 3.9.6 [Pyt21].
Things to add:
Always use an older version because of compatibility
System Python
Virtual env
Docker
Usage
To-Do’s¶
[ ] - What is Docker?
[ ] - Virtual environment
[ ] - Wharton
[ ] - Git & GitHub
[x] - Draw.io
[ ] - How to set-up Python
[ ] - What else on programming languages is out there? (R, Java, …)
[ ] - R
References
- drawio21
draw.io. Interactive Tutorials - draw.io. Draw.io, 2021. URL: https://drawio-app.com/tutorials/interactive-tutorials/.
- per21
perfectial. ≡ Tech Stack • Technology Stack Examples for Business Owners. Perfectial.com, 2021. URL: https://perfectial.com/blog/technology-stack-dilemma-explained/.
- Pyt21
Python. Welcome to Python.org. Python.org, 2021. URL: https://www.python.org/.


Interview with Darkus (a.k.a. Nemes!s)
FuZioN: Hi Darkus, please introduce yourself.
Darkus: My real name, as some of you may remember is Lee Harwood and I'm now 33 years old still residing in the North East of England. Better known as Nemes!s in years gone by before renaming to Darkus somewhere along the way!
FuZioN: How and when did you find the Amiga demoscene?
Darkus: My journey into the realm of the amiga demo scene began around December 1993 when I decided to go to a local computer club to get copies of the latest games. After a few weeks of filling my disk box with all the latest gems I began to take notice of another guy's screen who attended the same club.
Each week he would have these amazing looking graphics and sounds coming from his machine.  I eventually plucked up the courage to ask what it was and for my own copy. I was astonished it was possible to do this on the Amiga and we began to talk further about these kind of productions. (It was U2 by Scoopex by the way). We began to speak every week at this club and before long I was getting more and more interested in the cracktros on the disks. This guy who I am still friends with today was called Messiah and he opened my eyes to the hidden delights of the Amiga demo scene.
After reading the scrollers in various productions over and over I decided to contact a few people. Not really knowing what I was doing I wrote (yes wrote on paper!) letters to TBC of RNO and Michael of Anathema. Both of whom replied and from that point on, I was hooked!
FuZioN: What are your fondest memories of the Amiga scene?
Darkus: Aside from all the fantastic productions, I feel it was an honour to be part of such an amazingly talented subculture of some great people from all over the world. A lot of people say the scene was already dying by 1995 but for me, 1994 to 2004 really was a fantastic time to be involved. The magic of it all will stay with me forever as well as some great friends I've made along the way. It's impossible to explain or for outsiders to understand just how special it was. Although in many respects, that's part of the magic!
It's fair to say, seeing my name in the Eurocharts and Showtime was always a great buzz and the noise when the post man popped a few disks through the letterbox is a very fond memory too!
Lastly, releasing my own diskmag “Devotion” was definitely a feeling of “I've finally reached my goal” type of moment!
FuZioN: What scene groups were you a member of?
Darkus: A few...
Scene groups: RNO, Anathema, Nuance, Freezers, Digital, Skid Row, Rebels, Nah-Kolor, Haujobb, Mangoo
Ascii groups: Save Our Souls, Low Profile, Aerosol
Music Groups: Poise Records
FuZioN: Name some of your all time favourite Amiga demoscene productions/groups.
Darkus: Very hard question, but the ones that remain in memory are Desert Dream by Kefrens. Laxity is pure genius in this production, code, design and a killer soundtrack! Raw diskmag with the legendary Lord Helmet/Spaceballs at the helm was the production that persuaded me to begin writing articles. Another diskmag would have to be Seenpoint by Scoopex. Fishwave almost single handily wrote all issues and it was one of the first mags I wrote for. Other demos, I'd say Nexus 7 by Andromeda, Rise by Mellow Chips, Switch Back by Rebels, Chromagic by DCS, Control by Oxygene and most productions by Polka Brothers, Jetset, Sanity, Virtual Dreams, Bomb, Complex,.. the list could go on forever!!
FuZioN: Are you still in contact with any ex-group members or sceners?
Darkus: Yes, still in contact with a handful! Wade/Fairlight, Magic/Nah-Kolor, Sane/Scoopex, Messiah/Prophets, Michael/Anathema, Genetix/Darkage and probably a bunch others I just can't remember right now!! Oh.. not forgetting Chromag/Rebels.. I still want my Chromagic disks back haha!!
FuZioN: What were your favourite productions that you worked on during the main years of the scene?
Darkus: Working on Devotion diskmag was great fun, having control of the content and design/style was everything I always wanted as a scener!  Along side this I always supported other mags like Seenpoint, Generation, Jurassic Pack, Showtime, Trashcan and so on. I released a few songs in productions along the way, can't remember names now!! In the later years I really enjoyed working with Wade and ShanetheWolf under our hidden aliases in Fearmoths.
FuZioN: You were very active in the ascii scene and produced 50 collys. How did you end up being part of this crazy subculture?
Darkus: Not sure if I can exactly remember where the interest began. Messiah who introduced me to the scene was into ascii and I believe he gave me a disk that featured a DIR full of bbs adds. I remember looking through them (not even fully aware what they were for) and being amazed at these graffiti like style pieces of keyboard art. It wouldn't have been long after that I persuaded my parents to buy me a modem and I was calling the boards and sending my own attempt at ascii to the sysops for them to use on their boards. If I remember correctly I opened my own ascii group called Sukmas but I don't think that lasted too long.
Groups such as Arclite, Mo'Soul, Epsilon Design amongst a few others always really inspired to me to get involved. Made many great friends over the years and a few enemies along the way too. I think it was 1997 or 1998 when I started my own group, this time called Aerosol and was more successful second time round. The group is still alive today... some 16 years later!!
FuZioN: Are you currently working on any projects when time restraints allow?
Darkus: The last couple of years have been extremely inactive for me. I did some pixel work on C64, a few tracks on Fruity Loops and that's pretty much it!
FuZioN: Did you regularly frequent any BBSes? If so, which ones?
Darkus: I loved the whole BBS scene, I was frequently on Digital Candy, Permanent Vacation, Los Endos, Boondocks, The Yard, Graveyard amongst many others I've forgotton! I ran my own BBS “Unity” for a little while using AmiExpress however this didn't go down too well with the parents when non-modem callers couldn't get through as the modem picked up all incoming calls automatically hehe...
FuZioN: Are you still running any classic Amigas? If so, what models?
Darkus: I still have my Amiga 1200 and all the kit, sadly the HD won't boot up but can still run a handful of the disks I've kept. Nowadays instead of even running WinUAE, I jump straight into You Tube!
FuZioN: What scene parties have you attended?
Darkus: I went to Dejavu 2 in 1999 where I met some great people.. Optic/DCS, Devistator/DCS, Boo/Talent, Dvize/Limited Edition to name a few and then later Sundown in 2006.
FuZioN: Do you follow the PC demoscene at all?
Darkus: I had a little journey into the PC scene when I set up a small group called Mangoo. We only released one production which you can download from Pouet.net.
FuZioN: Are there moments when you feel nostalgic, thinking back to the best years of the Amiga scene?
Darkus: I occasionally track back looking at old productions on You Tube and definitely love going down nostalgia lane. I basically grew up on the scene. Starting at 13/14 years old right the way through to 30! A lot of the old productions and tracks are linked to memories from those time periods. Like I've said earlier, the memories will be a part of me forever!!
FuZioN: What is your day job?

Darkus: Still have a big passion for music but I can mostly be found every day at the gym unwinding or chilling out on the Xbox. The odd binge session or bender weekend thrown in for good measure too!
FuZioN: What music are you into?
Darkus: Everything from drum and bass to more laid back ambient chill out tracks.
FuZioN: This is your spam area.. feel free to advertise any web presence, be it Fbook/Twatter/URL/other.
Darkus: I can be found lurking on Facebook nowadays, other than that you can find my parents address in most good diskmags over the last 15 years if you wish to send me some snail mail! Please remember to send the stamps back though!! :-)
FuZioN: Thanks for taking part in the interview mate. Any final words of wisdom?
Darkus: Be creative, good night! :-)


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@* * Copyright 2021 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @(employmentId: Int, employerName: String)(implicit request: Request[_], messages: Messages, user: controllers.auth.AuthedUser, templateRenderer: uk.gov.hmrc.renderer.TemplateRenderer, partialRetriever: uk.gov.hmrc.play.partials.FormPartialRetriever) @import includes.ptaHeader @import uk.gov.hmrc.urls.Link @gaEventActionString = @{"We are unable to calculate your pay"} @header = @{ ptaHeader( displayBackLink = true, backLinkGaEventAction = Some(gaEventActionString), mainHeadingText = messages("tai.unableToCalculate.title"), preHeadingText = messages("tai.unableToCalculate.preHeading", employerName), headerWidthClasses = Some("column-full") ) } @main( title = messages("tai.unableToCalculate.title"), articleClasses = Some("full-width"), authedUser = Some(user), pageHeader = Some(header), employerName = Some(employerName), gaCustomTitle = None ){
@messages("tai.unableToCalculate.cantCalc")
@Html(messages("tai.unableToCalculate.enterOwnFigures.text", Link.toInternalPage(url=routes.IncomeController.viewIncomeForEdit.toString,value=Some(messages("tai.unableToCalculate.enterOwnFigures.link"))).toHtml))
@messages("tai.unableToCalculate.noNeedToContact")


Person
- Name
- Rolf Sonderegger
- Nickname
- siramon
- Gender
- he/him/his
married | father of four | based in #Zurich #Switzerland | more on Twitter and Instagram
married | father of four | based in #Zurich #Switzerland | more on Twitter and Instagram
Please drop me a line, if you have comments, questions or ideas


Variables
BASE_CTRLS_PATH
BASE_CTRLS_PATH: string = path.join(__dirname, ctrl_path)
BASE_FILTERS_PATH
BASE_FILTERS_PATH: string = path.join(__dirname, filter_path)
Delete
Delete: Function = routeDecoratorFactory('delete')
Get
Get: Function = routeDecoratorFactory('get')
Logger
Logger: LoggerInstance = SimpleLogger.getInstance()
Post
Post: Function = routeDecoratorFactory('post')
Put
Put: Function = routeDecoratorFactory('put')
SENTRY_RELEASE
SENTRY_RELEASE: any = process.env.SENTRY_RELEASE ? process.env.SENTRY_RELEASE : (() => {try {return Git.long();} catch (error) {}})()
Schema
Schema: Schema = mongoose.Schema
ctrl_path
ctrl_path: "../../../api/controllers" = "../../../api/controllers"
filter_path
filter_path: "../../../api/filters" = "../../../api/filters"
The @Delete route decorator.
{Function}
The route to be assigned to the decorated method.
The filters to be called before the decorated method.


| 004:025 Khan | : |
And whoever of you have not the means wherewith to wed free, believing women, they may wed believing girls from among those (captives and slaves) whom your right hands possess, and Allah has full knowledge about your Faith, you are one from another. Wed them with the permission of their own folk (guardians, Auliya' or masters) and give them their Mahr according to what is reasonable; they (the above said captive and slave-girls) should be chaste, not adulterous, nor taking boy-friends.   And Allah knows best your faith -- you are (sprung) the one from the other. So marry them with the permission of their masters, and give them their dowries justly, they being caste, not fornicating, nor receiving paramours; then if they are guilty of adultery when they are taken in marriage, they shall suffer half the punishment for free married women. This is for him among you who fears falling into evil. And that you abstain is better for you. And Allah is Forgiving, Merciful. |
| 004:025 Pickthal | : |
And whoso is not able to afford to marry free, believing women, let them marry from the believing maids whom your right hands possess. Allah knoweth best (concerning) your faith. Ye (proceed) one from another; so wed them by permission of their folk, and give unto them their portions in kindness, they being honest, not debauched nor of loose conduct. And if when they are honourably married they commit lewdness they shall incur the half of the punishment (prescribed) for free women (in that case).  But to have patience would be better for you. Allah is Forgiving, Merciful. |
| 004:025 Rashad | : |
Those among you who cannot afford to marry free believing women, may marry believing slave women. GOD knows best about your belief, and you are equal to one another, as far as belief is concerned. You shall obtain permission from their guardians before you marry them, and pay them their due dowry equitably. They shall maintain moral behavior, by not committing adultery, or having secret lovers. Once they are freed through marriage, if they commit adultery, their punishment shall be half of that for the free women. Marrying a slave shall be a last resort for those unable to wait. To be patient is better for you. GOD is Forgiver, Most Merciful. |
| 004:025 Sarwar | : |
If any of you do not have the means to marry a chaste believing woman, marry your believing slave-girls. God knows best about your faith. You have the same faith. Marry them with the permission of their masters and if they are chaste and have avoided fornication and amorous activities, give them their just dowries. If after marriage they commit adultery, they should receive half of the punishment of a free woman who has committed the same crime. This is for those who fear falling into evil. It is better for you to have self-control. God is All-forgiving and All-merciful. |
| 004:025 Shakir | : |
And whoever among you has not within his power ampleness of means to marry free believing women, then (he may marry) of those whom your right hands possess from among your believing maidens; and Allah knows best your faith: you are (sprung) the one from the other; so marry them with the permission of their masters, and give them their dowries justly, they being chaste, not fornicating, nor receiving paramours; and when they are taken in marriage, then if they are guilty of indecency, they shall suffer half the punishment which is (inflicted) upon free women. This is for him among you who fears falling into evil; and that you abstain is better for you, and Allah is Forgiving, Merciful. |
| 004:025 Sherali | : |
And whoso of you cannot afford to marry free believing women, let him marry what your right hands possess, namely your believing hand-maids. And ALLAH knows your faith best; you are all one from another; so marry them with the leave of their masters and give them their dowries, according to what is fair, they being chaste, not committing fornication, nor taking secret paramours. And if, after they are married, they are guilty of lewdness, they shall have half the punishment prescribe for free married women.  And that you restrain yourselves is better for you; and ALLAH is Most Forgiving, Merciful. |
| 004:025 Yusufali | : |
If any of you have not the means wherewith to wed free believing women, they may wed believing girls from among those whom your right hands possess: And Allah hath full knowledge about your faith. Ye are one from another: Wed them with the leave of their owners, and give them their dowers, according to what is reasonable: They should be chaste, not lustful, nor taking paramours: when they are taken in wedlock, if they fall into shame, their punishment is half that for free women. This (permission) is for those among you who fear sin; but it is better for you that ye practise self-restraint. And Allah is Oft-forgiving, Most Merciful. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > خشية الله تعالى وتقواه Pillars of Islam> Islamic> Oneness of Allah> Devoutness and Fear of Allah أركان الإسلام > التوحيد > توحيد الله تعالي > صفات الله تعالى > أعلم Pillars of Islam> Islamic> Oneness of Allah> His Glory's Characteristics> The One who Knows Better العمل > العمل الطالح > الفاحشة والزنى > الفحشاء Action(Work)> Bad Deeds> Adultry and Atrocity>Atrocity العمل > العمل الطالح > الفاحشة والزنى > النكاح المحرّم Action(Work)> Bad Deeds> Adultry and Atrocity> The Forbidden Marriage الإنسان والعلاقات الأخلاقية > الأخلاق الحميدة > الصبر Man and The Moral Relations> Good Morals>Patience الإنسان والعلاقات الأخلاقية > الأخلاق الحميدة > العفة Man and The Moral Relations> Good Morals>Chastity الإنسان والعلاقات الأخلاقية > الأخلاق الذميمة > المسافحة Man and The Moral Relations>The Dispraised Morals>Fornication الإنسان والعلاقات الاجتماعية > الأسرة > العزوبة Man and The Social Relations>The Family>The Bachelorhood الإنسان والعلاقات الاجتماعية > الأسرة > النكاح Man and The Social Relations>The Family>Marriage الإنسان والعلاقات الاجتماعية > النساء > المرأة Man and The Social Relations>Women>The Woman العلاقات القضائية > أحكام قانونية > الحدود > حدّ زنى الإماء Judicial Relationships>Legal Rules>The Punishments>For Female-Slaves Adultery
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Definition at line 538 of file btConvexHullComputer.cpp.
◆ Face()
| btConvexHullInternal::Face::Face |
( |
| ) |
|
|
inline |
◆ getNormal()
| Point64 btConvexHullInternal::Face::getNormal |
( |
| ) |
|
|
inline |
◆ init()
◆ dir0
| Point32 btConvexHullInternal::Face::dir0 |
◆ dir1
| Point32 btConvexHullInternal::Face::dir1 |
◆ nearbyVertex
| Vertex* btConvexHullInternal::Face::nearbyVertex |
◆ next
| Face* btConvexHullInternal::Face::next |
◆ nextWithSameNearbyVertex
| Face* btConvexHullInternal::Face::nextWithSameNearbyVertex |
◆ origin
| Point32 btConvexHullInternal::Face::origin |
The documentation for this class was generated from the following file:


Generative Adversarial Networks (GANs) are a powerful class of neural networks that are used for unsupervised learning. It was developed and introduced by Ian J. Goodfellow in 2014. GANs are basically made up of a system of two competing neural network models which compete with each other and are able to analyze, capture and copy the variations within a dataset.
Why were GANs developed in the first place?
It has been noticed most of the mainstream neural nets can be easily fooled into misclassifying things by adding only a small amount of noise into the original data. Surprisingly, the model after adding noise has higher confidence in the wrong prediction than when it predicted correctly. The reason for such adversary is that most machine learning models learn from a limited amount of data, which is a huge drawback, as it is prone to overfitting. Also, the mapping between the input and the output is almost linear. Although, it may seem that the boundaries of separation between the various classes are linear, but in reality, they are composed of linearities and even a small change in a point in the feature space might lead to misclassification of data.
How does GANs work?
Generative Adversarial Networks (GANs) can be broken down into three parts:
In GANs, there is a generator and a discriminator. The Generator generates fake samples of data(be it an image, audio, etc.) and tries to fool the Discriminator. The Discriminator, on the other hand, tries to distinguish between the real and fake samples. The Generator and the Discriminator are both Neural Networks and they both run in competition with each other in the training phase. The steps are repeated several times and in this, the Generator and Discriminator get better and better in their respective jobs after each repetition. The working can be visualized by the diagram given below:


The punctuation/hash.h
header defines macros that expand to hash marks.
#include <chaos/preprocessor/punctuation/hash.h>
The CHAOS_PP_HASH
macro expands to a single hash mark.
CHAOS_PP_HASH
()
The hash mark preprocessing token (#
) may not be used in the replacement list of a function-like macro unless it is used as the stringizing operator.
This macro facilitates the introduction of the hash mark preprocessing token in such contexts.
#include<chaos/preprocessor/punctuation/hash.h>
#include<chaos/preprocessor/stringize.h>
#define FUNCTION(p) \CHAOS_PP_STRINGIZE
(CHAOS_PP_HASH
() p) \ /**/ FUNCTION(abc) // "# abc"
The CHAOS_PP_HASH_ID
macro indirectly expands to CHAOS_PP_HASH
.
CHAOS_PP_HASH_ID
()
This macro exists only for uniformity with other macros that require indirect invocation.
The CHAOS_PP_HASH_
macro expands to a λ expression representing CHAOS_PP_HASH
.
CHAOS_PP_HASH_
This macro is a shorthand form of the following λ binding:
The CHAOS_PP_HASH_HASH
macro expands to a double hash mark.
CHAOS_PP_HASH_HASH
()
The double hash mark preprocessing token (##
) may not be used in the replacement list of a macro unless it is used as the token-pasting operator.
This macro facilitates the introduction of the double hash mark preprocessing token in such contexts.
#include<chaos/preprocessor/punctuation/hash.h>
#include<chaos/preprocessor/stringize.h>
#define FUNCTION(p) \CHAOS_PP_STRINGIZE
(pCHAOS_PP_HASH_HASH
() p) \ /**/ FUNCTION(x) // "x ## x"
The CHAOS_PP_HASH_HASH_ID
macro indirectly expands to CHAOS_PP_HASH_HASH
.
CHAOS_PP_HASH_HASH_ID
()
This macro exists only for uniformity with other macros that require indirect invocation.
The CHAOS_PP_HASH_HASH_
macro expands to a λ expression representing CHAOS_PP_HASH_HASH
.
CHAOS_PP_HASH_HASH_
This macro is a shorthand form of the following λ binding:
The CHAOS_PP_DIGRAPH_HASH
macro expands to the digraph hash mark.
CHAOS_PP_DIGRAPH_HASH
()
The digraph hash mark preprocessing token (%:
) may not be used in the replacement list of a function-like macro unless it is used as the stringizing operator.
This macro facilitates the introduction of the digraph hash mark preprocessing token in such contexts.
#include<chaos/preprocessor/punctuation/hash.h>
#include<chaos/preprocessor/stringize.h>
#define FUNCTION(p) \CHAOS_PP_STRINGIZE
(CHAOS_PP_DIGRAPH_HASH
() p) \ /**/ FUNCTION(abc) // "%: abc"
The CHAOS_PP_DIGRAPH_HASH_ID
macro indirectly expands to CHAOS_PP_DIGRAPH_HASH
.
CHAOS_PP_DIGRAPH_HASH_ID
()
This macro exists only for uniformity with other macros that require indirect invocation.
The CHAOS_PP_DIGRAPH_HASH_
macro expands to a λ expression representing CHAOS_PP_DIGRAPH_HASH
.
CHAOS_PP_DIGRAPH_HASH_
This macro is a shorthand form of the following λ binding:
The CHAOS_PP_DIGRAPH_HASH_HASH
macro expands to a double digraph hash mark.
CHAOS_PP_DIGRAPH_HASH_HASH
()
The double digraph hash mark preprocessing token (%:%:
) may not be used in the replacement list of a macro unless it is used as the token-pasting operator.
This macro facilitates the introduction of the double digraph hash mark preprocessing token in such contexts.
#include<chaos/preprocessor/punctuation/hash.h>
#include<chaos/preprocessor/stringize.h>
#define FUNCTION(p) \CHAOS_PP_STRINGIZE
(pCHAOS_PP_DIGRAPH_HASH_HASH
() p) \ /**/ FUNCTION(x) // "x %:%: x"
The CHAOS_PP_DIGRAPH_HASH_HASH_ID
macro indirectly expands to CHAOS_PP_DIGRAPH_HASH_HASH
.
CHAOS_PP_DIGRAPH_HASH_HASH_ID
()
This macro exists only for uniformity with other macros that require indirect invocation.
The CHAOS_PP_DIGRAPH_HASH_HASH_
macro expands to a λ expression representing CHAOS_PP_DIGRAPH_HASH_HASH
.
CHAOS_PP_DIGRAPH_HASH_HASH_
This macro is a shorthand form of the following λ binding:


- Review:
- General reminders
- First Assignment
- Bivariate Data Visualization
- Continuous v Continuous variables
- Continuous v Categorical variables
- Additional tips
- Next class
William R. Buchanan, Ph.D.
Strategic Data Fellow at MDE/Adjunct Prof at JSU
>
and +
prompts from what you copy and paste#
symbol before that textLoad the example data set that will be used tonight
# Load the packages needed for the graphs and to read the data
library("foreign"); library("ggplot2");
# Read the example data set from my server
johnDoe <- as.data.frame(read.dta( # Don't put the URL on this line
"http://www.paces-consulting.org/stata/JSU/Fall2014/JohnDoe-task1.dta"))
# Compare this and the next graph
qplot(race, data = johnDoe)
qplot(race, data = johnDoe, geom = "histogram", na.rm = TRUE, binwidth = 10,
ylab = "# of Students per Score", main = "Middle of Year ELA : \nBinwidth set to 10",
xlab = "Middle of Year \nEnglish/Language Arts Scores")
# Look at this graph and compare the interpretations on the next slide
qplot(female, data = johnDoe)
# This shows you the labels for the variables in the dataset
attr(johnDoe, "var.labels")
## [1] "District ID #"
## [2] "Non-Unique School ID #"
## [3] "Unique School ID #"
## [4] "MSIS Student ID #"
## [5] "Student's Ethnoracial Identity"
## [6] "Student's Biological Sex"
## [7] "Severe Cognitive Disability Indicator"
## [8] "Student Served by Special Education Indicator"
## [9] "English Language Learner Indicator"
## [10] "Limited English Proficiency Indicator"
## [11] "Migrant Family Indicator"
## [12] "Economically Disadvantaged Indicator"
## [13] "Current Grade Level of the Student"
## [14] "Current Reading/Language Arts Scaled Score"
## [15] "Prior Reading/Language Arts Scaled Score"
## [16] "Current Mathematics Scaled Score"
## [17] "Prior Mathematics Scaled Score"
## [18] "Current Reading/Language Arts Proficiency Level"
## [19] "Prior Reading/Language Arts Proficiency Level"
## [20] "Current Mathematics Proficiency Level"
## [21] "Prior Mathematics Proficiency Level"
## [22] "Participated in Reading/Language Arts Intervention"
## [23] "Participated in Mathematics Intervention"
# A first example of a scatterplot
qplot(pgrrlascore, cgrrlascore, data = johnDoe)
# Add a label to the x-axis for the variable you graph on the x-axis
qplot(pgrrlascore, cgrrlascore, data = johnDoe, #
xlab = attributes(johnDoe)$var.labels[[15]])
# Add labels to both axes for your graph
qplot(pgrrlascore, cgrrlascore, data = johnDoe, #
xlab = attributes(johnDoe)$var.labels[[15]], #
ylab = attributes(johnDoe)$var.labels[[14]])
attributes(johnDoe)$var.labels[[#]]
thing can be confusingnames(johnDoe)
function you can find the number that corresponds to your variable# Add labels to both axes for your graph
qplot(pgrrlascore, cgrrlascore, data = johnDoe, #
xlab = "Prior RLA Score", ylab = "Current RLA Score")
# Since there are a lot of points, we could make them semi-transparent
# to view them a bit more easily
qplot(pgrrlascore, cgrrlascore, data = johnDoe, #
xlab = "Prior RLA Score", ylab = "Current RLA Score", #
alpha = I(0.15))
# And if we want to highlight the trend in the data, we can add a line of best fit
qplot(pgrrlascore, cgrrlascore, data = johnDoe, #
xlab = "Prior RLA Score", ylab = "Current RLA Score", alpha = I(0.15)) + #
geom_smooth(size = 2, method = "lm")
# Or we could add a line that can bend and curve to fit the data a bit more
qplot(pgrrlascore, cgrrlascore, data = johnDoe, #
xlab = "Prior RLA Score", ylab = "Current RLA Score", alpha = I(0.15)) + #
geom_smooth(size = 2)
# Or we could add both types of lines
qplot(pgrrlascore, cgrrlascore, data = johnDoe, #
xlab = "Prior RLA Score", ylab = "Current RLA Score", alpha = I(0.15)) + #
geom_smooth(size = 2) + geom_smooth(size = 2, method = "lm", color = "Red")
# If this is our final graph, then we probably want to give it a title as well
qplot(pgrrlascore, cgrrlascore, data = johnDoe, #
xlab = "Prior RLA Score", ylab = "Current RLA Score", #
main = "Relationship between RLA Scores across two years", alpha = I(0.15)) + #
geom_smooth(size = 2) + geom_smooth(size = 2, method = "lm", color = "Red")
# Create a boxplot to look for outliers across districts
ggplot(johnDoe, aes(x = factor(distid), y = cgrmthscore)) + geom_boxplot()
# Same thing but this time looking at grade-levels within districts
ggplot(johnDoe, aes(x = factor(grade), y = pgrmthscore)) + #
geom_boxplot(aes(fill = factor(grade))) + facet_wrap(~distid)
# What if we want more detail about the distributions in each of the categories?
ggplot(johnDoe, aes(x = cgrmthlev, y = pgrmthscore)) + #
geom_jitter(alpha = I(.1)) + geom_boxplot(aes(fill = cgrmthlev)) + #
facet_wrap(~grade)
# It works for simpler examples as well
ggplot(johnDoe, aes(x = factor(grade), y = pgrmthscore)) + #
geom_jitter(alpha = I(.1)) + geom_boxplot(aes(fill = factor(grade)))
class(dataObject$variableName)
to determine whether or not the variable you are interested in using on the x-axis is a factor variable
factor()
function like the example above with grade level on the x-axis# Get a sample of 500 students from the data object
sampleData <- johnDoe[sample(nrow(johnDoe), 500), ]
# Look at a sumamry of the data just to confirm it's only 500 students
summary(sampleData[, 5])
## Asian Black or African American
## 0 257
## Hispanic or Latino Two or More Races
## 6 0
## American Indian or Alaskan Native Native Hawaiian or Pacific Islander
## 0 0
## White
## 237
# Recreate the last boxplot
ggplot(sampleData, aes(x = cgrmthlev, y = pgrmthscore)) + #
geom_jitter(alpha = I(.1)) + geom_boxplot(aes(fill = cgrmthlev)) + #
facet_wrap(~grade)
# If this is our final graph, then we probably want to give it a title as well
qplot(pgrrlascore, cgrrlascore, data = sampleData, #
xlab = "Prior RLA Score", ylab = "Current RLA Score", alpha = I(0.5), #
main = "Relationship between RLA Scores across two years") + #
geom_smooth(size = 2) + geom_smooth(size = 2, method = "lm", color = "Red")


These tests exercise the content widget
| Load HTML file (with on/value expression) |
|
| Load HTML file (lazy load 5s) |
|
| Load HTML file (conditionally hide/show) |
Hide |
Show
|
| Load HTML file (with onload attribute) | |
| Load HTML file (with onfetch attribute) | |
| Load HTML file (with <style> element) |
|
| Load HTML file (with <link> element) |
|
| Load HTML file (with <style> element and <link> element - testing css order) |
|
| Load HTML file with useframe = true (defaults to false) | |
| Load HTML file with embedded scripts |
|
| Load HTML file with embedded scripts (useframe=true) |
|
| multiple loads of content with validators |
If you don't get any errors and the input field is valid and decorators are
valid after the 2nd click, the test passed
|


|
{{data.reputationString}}
|
{{#each data.threads}}
|
|
{{/each}}
{{#data.hasOverflowThreads}}
|
Today’s digest highlights the top 20 conversations in your
communities - but there are more active conversations waiting for you!
|
|
See more conversations
|
{{/data.hasOverflowThreads}}
{{#if data.communities}}
|
|
Discover more communities:
|
{{/if}}
{{#each data.communities}}
|
|
{{/each}}
|
|
|
Go to my feed
|


Congress tried to stall Ayodhya case, kept Kashmir on backburner for 70 years: Amit Shah
The five-phase polling in Jharkhand begins on November 30 and ends on December 20.
by Express Web DeskAhead of the first phase of the Jharkhand Assembly elections on November 30, Union Home Minister Amit Shah Thursday accused the Congress of stalling the Ayodhya case in the Supreme Court and keeping the Kashmir issue on the backburner for 70 years.
Addressing a rally at Latehar — the land of Birsa Munda and Nilamber and Pitamber — a district in Jharkhand, Amit Shah said: “Congress kept the Kashmir problem hanging for 70 years in the greed to protect its vote bank.”
Lauding Supreme Court’s recent decision on the Ramjanbhoomi land dispute, Shah said: “We wanted resolution of Ayodhya dispute within the framework of Constitution and with Lord Ram’s blessings the SC has cleared way for temple. Everyone wanted Ram temple but Congress tried to stall the case.”
The BJP chief also asked Congress and its former president Rahul Gandhi to give an account of what they have done for the tribals in the state.
“People kept dying, youth sacrificed their lives, but dream of Jharkhand statehood remained unfulfilled under Congress rule,” he claimed.
The five-phase polling in Jharkhand begins on November 30 and ends on December 20. In 2014, BJP won 37 seats and its ally AJSU won five seats, taking the tally to 42 — one more than the majority mark. Later, six MLAs of Jharkhand Vikas Morcha (Prajatantrik) joined the BJP.
(With PTI inputs)


This documentation describes the hData content payload for the Insurance Provider Extension.
| Name | Insurance Provider Extension Description |
| Version Aware URL | |
| Creation Date | 20 July 2012 |
| Summary | This Insurance Provider hData Extension Description contains information about the entities or other individuals who may pay for a patient's healthcare. Such entities or individuals may be health insurance plans, other payers, and guarantors, parties with financial responsibility, some combination of payers or the patient directly. This module is used to define which entity or combination of entities has any financial responsibility for a patient's care. |
| Author(s) | RHEx Pilot Team |
| Date | Author(s) | Version URL | Major Changes | Comments |
|---|---|---|---|---|
| 30 July 2012 | King, Kling, Gregorowicz, et. al. | First Version | Draft - In Progress | |
| 31 July 2012 | King, Kling, Gregorowicz, et. al. | Update for RHEx | V1.2 | Draft - In Progress |
All hData section documents identified by an XML namespace must be declared in the extensions node of the root document. Extensions are either "mandatory" or "optional." Each section document has an address expressed as a Uniform Resource Identifier (URI). Each URI is registered in the extensions node of the root document. Sections can contain either single data type documents (e.g., XML, JSON, HTML) or URIs referencing other sections. Section document content must be expressed in XML and document types must be declared in the extensions node of the root document.
Insurance Provider contains information about the entities or individuals with financial responsibility for a patients care.
| Name | Type | Mandatory/Optional | Notes |
|---|---|---|---|
| id | string | M | The policy or group contract number identifying the contract between a health plan sponsor and the health plan. |
| Insurance Type | code | O | The type of health plan covering the individual, e.g., an HMO, PPO, POS, Medicare Part A/B, etc. The Health Insurance Type SHALL be coded as specified in HITSP/C80 Section <IP_ADDRESS> Health Insurance Type |
| Payer Id | string | O | Corresponds to the RxBIN and RxPCN fields found on pharmacy benefit cards. When a national payer identifier is standardized, it would also go in this field |
| Payer Name | string | M | The name of the entity that is the source of information about the health insurance. This name is not synonymous with a Health Plan Name or a Health Plan Identifiere |
| Payer Address | address | O | The official mailing address to which written correspondence is to be directed |
| Payer Telecom | telecom | O | A telephone number (voice or fax), e-mail address or other locator for a resource mediated by telecommunication equipment. |
| Member Id | string | O | The identifier assigned by the health plan to the patient who is covered by the health plan. |
| Subscriber Id | string | O | The identifier assigned by the health plan to the actual member or health plan contract holder |
| Subscriber Address | address | O | The official mailing address of the actual member or health plan contract holder |
| Subscriber Telecom | telecom | O | A telephone number (voice or fax), e-mail address or other locator for a resource mediated by telecommunication equipment. |
| Subscriber Name | personalName | O | The name of the actual member or health plan contract holder |
| Subscriber Date of Birth | timestamp | O | The date of birth of the actual member or health plan contract holder |
| Subscriber Relationship | code | O | Specifies only if patient is the subscriber or dependent within the context of the specified health plan |
| Financial Responsibility Type | code | O | The type of party that has responsibility for all or a portion of the patient's healthcare; includes health insurance, the patient directly, a guardian or other guarantor or other third party that is not a health insurance plan |
| Guarantor Effective Date of Responsibility | timestamp | O | The time span over which the Financial Responsibility Party is responsible for the payment of the patient's healthcare |
| Guarantor Address | O | The official mailing address of the Financial Responsibility Party to which written correspondence is to be directed | |
| Guarantor Telecom | O | A telephone number (voice or fax), e-mail address, or other locator for a resource mediated by telecommunication equipment. | |
| Guarantor Name | string | M | The name of the Financially Responsible Party |
| Health Plan Name | string | O | The name of the Health plan/td> |
| Free Text | string | O | Free text comments |
Insurance Provider is characterized by:
The XML Schema Definition (XSD) for Insurance Provider specifies how to formally describe the elements in an XML document. For the RHEx Pilot, C32/C80 values that lend themselves to greater accuracy through calculation are calculated. For RHEx,Patient demographic information such as,DOB, Name, Address and Telcom would be found in C32/C80 would be found in the demographics.
Insurance_Provider.xsd is located at the following URI: https://github.com/projectcypress/health-data-standards/tree/develop/greenc32/schemas/rest_plus/insurance_provider.xsd
Insurance_Provider.xsd extends the entry complex data type which is defined in the data_types schema at the following URI: https://github.com/projectcypress/health-data-standards/tree/develop/greenc32/schemas/rest_plus/data_types.xsd
Insurance Provider may be represented in XML and JSON format.
Components of the Insurance Provider Extension Specification have been drawn from authoritative source and reference documents, as follows:


Introduction
Below is an example application
Documentation
Plugins
- SmartDataGrid
- Doughnut and Pie Chart
- Numeric range input
- Message inbox
- Plant info-graphics
- Circular relationship graph
- Real-time Grid
- Real-time Mobile Application
Other Frameworks
- Keel
- AngularJS
- Backbone
- jQuery UI
- Ember
- Kendo UI


Foundation Icons
General Icons
Page Icons
Arrow Icons
People Icons
Device Icons
Text Editor Icons
Media Control Icons
Ecommerce Icons
Accessibility Icons
Social & Brand Icons
Miscellaneous Icons
DeskApp - Bootstrap 4 Admin Template By
Ankit Hingarajiya


The pic language provides conditionals and looping. For example,
pi
= atan2(0,-1);
for i = 0 to 2 * pi by 0.1 do {
"-" at (i/2, 0);
"." at (i/2, sin(i)/2);
":" at (i/2, cos(i)/2);
}
which yields this:
Figure 16-1: Plotting with a for loop
The syntax of the for statement is:
for variable = expr1 to expr2 [by [*]expr3] do X body X
The semantics are as follows: Set variable to expr1. While the value of variable is less than or equal to expr2, do body and increment variable by expr3; if by is not given, increment variable by 1. If expr3 is prefixed by * then variable is multiplied instead by expr3. The value of expr3 can be negative for the additive case; variable is then tested whether it is greater than or equal to expr2. For the multiplicative case, expr3 must be greater than zero. If the constraints aren’t met, the loop isn’t executed. X can be any character not occurring in body; or the two Xs may be paired braces (as in the sh command).
The syntax of the if statement is as follows:
if expr then X if-true X [else Y if-false Y]
Its semantics are as follows: Evaluate expr; if it is non-zero then do if-true, otherwise do if-false. X can be any character not occurring in if-true. Y can be any character not occurring in if-false.
Eithe or both of the X or Y pairs may instead be balanced pairs of braces ({ and }) as in the sh command. In either case, the if-true may contain balanced pairs of braces. None of these delimiters are seen inside strings.
All the usual relational operators my be used in conditional expressions; ! (logical negation, not factorial), &&, ||, ==, !=, >=, <=, <, >.
String comparison is also supported using == and !=. String comparisons may need to be parenthesized to avoid syntactic ambiguities.


Comet parameter: add_Z_user_amino_acid
- This parameter allows users to define their own custom residue. Just
encode the letter 'Z' in the input FASTA file and specify its mass here.
- The letter 'Z' has no default mass. So the mass entered here will
be its residue mass.
- The default value is "0.0" if this parameter is missing. If any peptide
contains the letter 'Z' while this parameter value is set to 0.0, that
peptide will not be analyzed.
Example:
add_Z_user_amino_acid = 100.8


DIY Pallet Wood Table
Here is the Finished product just to get started. My sister go married and moved into a new apartment. Since she and her husband are still in college they did not have much money but wanted a nice apartment together, My wife likes to design and decorate so she decided she would decorate their place and I would make the furniture. So this is the first of a few pieces we did. You can check out her work at on Instagram at @byjo_designs
Originally this piece was to go behind the couch in the living room because of a strange layout the couch could not sit against the wall. Since then it has made it into their bed room as a nice table with storage underneath.
Collected some pallet wood there are always posts of free pallets you can pick up. This is only a portion of the pallets I used.
The only tools that you have to have for this project are the basics for all DIY projects.
I used:
Hamer A Crow bar ( for pulling the pallets apart )
10” Table Saw
Drill and impact Drill 3/8” Bits to sink the screw heads.
Screws 1 1/2”
Measuring Tape
Electric Sander Clamps
Used a crow bar to pry the planks off the pallets and hammered the nails out back wards to remove them. Some people just cut off the boards at the nails with a circular saw which is a faster way of doing it of coarse but I kinda like the look with the old nail holes. Then I took each bard and sanded them down to give a smooth finish and remove any paint or other cruft that was on the boards. Then I took the boards and cut them in to 12” sections for the center of table.
I needed a long table to stretch the length of the couch and decided since my boards were limited basically to the length of a pallet that I would make two sections and buy some cheap 1 x 1 to hold it all together. Laid out all the boards to make sure they fit together and sanding the ends of the longer boards so they are all the same size.
Lining things up checking it twice.
Selected a bit that was as close as i could get the the size of the head of my screws. This bit will let me recess the screw under the surface of the board helping to hide them. I believe it was a 3/8” bit but may vary based on what screws you use.
Pre drilling holes for the screws so the heads don’t stick out. There is a tool that you can use as a guide for this but I just hold my drill at the angle I want and start about half way up the board and drill till there is about 1/4 of the board left.
Then I take a bit that is smaller then my screws and drill a pilot hole to prevent the screw from splitting the wood as it is cranked down. I shoot for about half if not more of the screw going into the other board.
Watch out for your drill rubbing on the wood if your drill bit is not long enough. This is the bottom side so it will not bee seen at all.
The screw holding the frame together inset in the board so it will lay flat on the frame for the legs.
I screwed the outer frame together of one side and lift it up like this so I can apply pressure down while holding the boards strait and snug.
Here are the two halves, outer frames snugly attached but the inner boards are just set inside to help with alignment.
I took a 1x1 and used it to make a sub frame. This will hold all the center boards in place and provide extra stability to the table as well as make it straight. The boards were roughly 5/8” thick so I used 1 1/2” screws to attach the 1X1 to the table top frame. That gives me about 1/2” into the boards but keeps me from poking through. My goal was not to have any screws visible form the top.
Flipping the top over to see how it looks. Placed a few boards in the center but I will have to flip it back to actually attach them.
Snug as a bug in a rug.
Lining up all the boards to see how they sit form the top.
Flipped the whole thing upside down, so all the ugly sides are up and started attaching. There was a little gap but luckily it happened on both sides so I cut an extra board and placed the gap in the center of the half. It actually tuned out kinda nice to breakup the repetitiveness of the boards.
Throwing in some staggered pilot holes to hold the top boards down. Staggered holes to prevent splitting the wood. if you line up too many holes with the same thread in the grain some times it can cause it to split there.
Mark where I need to stop drilling.
Guess a great starting point about the length of the screw away so 1 3/8” ish. I know super precise.
Drill like a mad man.
Creating the side Legs. My sister wanted a shelf to stack junk (I think she is a hoarder). So I made them little shelves along with the space under the table they will be able to put things. I used these 90 deg clamps I have to hold the shelf where I wanted and secured with screws. Looking back now I probably should have made them deeper but beggars can’t be choosers.
Had to notch out a pice for the sub frame to fit up snug like I wanted and sunk the screw for attaching to the side leg.
Add the end pice on to cover up all the screws and complete the top. Then attach it from below holding it snug in place.
The table is designed for sitting behind her couch because of a strange wall protruding preventing the couch from sitting against the wall. This made the table pretty long and I was afraid of it not being able to support that much wight so I decided to add a center supporting leg.
Added a cross bar for extra support of the legs but placed it higher so things can be stacked under it. Was not too worried how this one looked because the table will be sandwiched between the couch and the wall. In other words you will not see it. I noticed if I tried to put some wight on it the legs would flex a little and did not want them to break off so I added some 30 deg supports.
Just took a section of 1x1 and predrilled some holes. Not my prettiest work but again its on the underside so I don’t mind too much.
This one I didn’t even sink that much but it worked. Added one to each corner and it really improved its rigidness.
There she be starting to shape up.
Now all that is left is sanding everything smooth. Since I was using pallet wood there are variations in the size of the wood so I waited till It was all put together before I really sanded everything down to its final state. I used an old hand plainer (essentially a blade that shaves off a little at a time) for the initial leveling and then an electric sander for the rest.
Blow off all that dust and it don’t look to bad. Now It just needs some stain and a coat of poly acrylic and we are good as gold.
The Final product again thanks for checking it out. Follow our journey and other projects on Instagram @byjo_designs and I will make more detailed posts here.
Check it out on imgur
DIY Pallet Wood Table.


@(apartments: Seq[models.Apartment], apartmentForm: play.data.Form[models.Apartment], buildingId: Long) @common.guest("Apartments") {


Package org.apache.archiva.redback.users
Interface UserManager
-
- All Known Implementing Classes:
AbstractUserManager
,CachedUserManager
,ConfigurableUserManager
,JpaUserManager
,LdapUserManager
,MemoryUserManager
public interface UserManager
User Manager Interface- Author:
- Jason van Zyl, Joakim Erdfelt
-
-
Field Summary
Fields Modifier and Type Field Description static String
GUEST_USERNAME
-
Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description User
addUser(User user)
Add a User.void
addUserManagerListener(UserManagerListener listener)
Add aUserManagerListener
to track major events in the UserManager.void
addUserUnchecked(User user)
Add a user to the database without checking for consistency or adjusting the password.User
createGuestUser()
Factory method to create the guest user.User
createUser(String username, String fullName, String emailAddress)
Factory method to create new User Objects based on provider specific implementation.UserQuery
createUserQuery()
Factory method to createUserQuery
s based on provider specific implementations.void
deleteUser(String username)
Delete a user using the username.void
eraseDatabase()
User
findUser(String username)
Find a User using a User name.User
findUser(String username, boolean useCache)
Find a User using a User name.List<? extends User>
findUsersByEmailKey(String emailKey, boolean orderAscending)
List<? extends User>
findUsersByFullNameKey(String fullNameKey, boolean orderAscending)
List<? extends User>
findUsersByQuery(UserQuery query)
Find users matching properties, ordering and range as specified by theUserQuery
.List<? extends User>
findUsersByUsernameKey(String usernameKey, boolean orderAscending)
String
getDescriptionKey()
User
getGuestUser()
Get the guest user.String
getId()
An Identifier for the UserManager.List<? extends User>
getUsers()
Get the List ofUser
objects.List<? extends User>
getUsers(boolean orderAscending)
void
initialize()
consumer of user manager can use it to reload various configuration with the configurable implementation is possible to change dynamically the real implementation used.boolean
isFinalImplementation()
boolean
isReadOnly()
Is the UserManager read only? if so then create and modify actions are to be disabledvoid
removeUserManagerListener(UserManagerListener listener)
Remove aUserManagerListener
from the collection of listeners.User
updateUser(User user)
Update a User.User
updateUser(User user, boolean passwordChangeRequired)
boolean
userExists(String principal)
true if the user exists, false if it doesn't
-
-
-
Field Detail
-
GUEST_USERNAME
static final String GUEST_USERNAME
- See Also:
- Constant Field Values
-
-
Method Detail
-
isReadOnly
boolean isReadOnly()
Is the UserManager read only? if so then create and modify actions are to be disabled- Returns:
- boolean true if user manager is disabled
-
addUserManagerListener
void addUserManagerListener(UserManagerListener listener)
Add aUserManagerListener
to track major events in the UserManager.- Parameters:
listener
- the listener to add.
-
removeUserManagerListener
void removeUserManagerListener(UserManagerListener listener)
Remove aUserManagerListener
from the collection of listeners.- Parameters:
listener
- the listener to remove.
-
createUser
User createUser(String username, String fullName, String emailAddress) throws UserManagerException
Factory method to create new User Objects based on provider specific implementation. User objects created this way do not exist in the provider's underlying data store until a call toaddUser(User)
is made.- Parameters:
username
- the username for this user.fullName
- the full name for this user.emailAddress
- the email address for this user.- Returns:
- the new user object ready to use.
- Throws:
UserManagerException
-
createGuestUser
User createGuestUser() throws UserManagerException
Factory method to create the guest user.- Returns:
- The guest user
- Throws:
UserManagerException
-
createUserQuery
UserQuery createUserQuery()
Factory method to createUserQuery
s based on provider specific implementations.- Returns:
- the provider implementation of UserQuery
-
getUsers
List<? extends User> getUsers() throws UserManagerException
Get the List ofUser
objects.- Returns:
- the List of
User
Objects. - Throws:
UserManagerException
-
getUsers
List<? extends User> getUsers(boolean orderAscending) throws UserManagerException
- Throws:
UserManagerException
-
addUser
User addUser(User user) throws UserManagerException
Add a User.- Parameters:
user
- the user to add.- Returns:
- the user that was just added.
- Throws:
UserManagerException
-
updateUser
User updateUser(User user) throws UserNotFoundException, UserManagerException
Update a User.- Parameters:
user
- the user to update.- Returns:
- the user that was just updated.
- Throws:
UserNotFoundException
- if the user was not found to update.UserManagerException
-
findUser
User findUser(String username) throws UserNotFoundException, UserManagerException
Find a User using a User name.- Parameters:
username
- the username to find.- Returns:
- the user.
- Throws:
UserNotFoundException
- if the user was not found.UserManagerException
-
findUser
User findUser(String username, boolean useCache) throws UserNotFoundException, UserManagerException
Find a User using a User name.- Parameters:
username
- the username to find.useCache
- to use or not caching- Returns:
- the user.
- Throws:
UserNotFoundException
- if the user was not found.UserManagerException
- Since:
- 2.2
-
getGuestUser
User getGuestUser() throws UserNotFoundException, UserManagerException
Get the guest user.- Returns:
- the guest user.
- Throws:
UserNotFoundException
UserManagerException
-
findUsersByUsernameKey
List<? extends User> findUsersByUsernameKey(String usernameKey, boolean orderAscending) throws UserManagerException
- Throws:
UserManagerException
-
findUsersByFullNameKey
List<? extends User> findUsersByFullNameKey(String fullNameKey, boolean orderAscending) throws UserManagerException
- Throws:
UserManagerException
-
findUsersByEmailKey
List<? extends User> findUsersByEmailKey(String emailKey, boolean orderAscending) throws UserManagerException
- Throws:
UserManagerException
-
findUsersByQuery
List<? extends User> findUsersByQuery(UserQuery query) throws UserManagerException
Find users matching properties, ordering and range as specified by theUserQuery
.- Parameters:
query
- the query.- Returns:
- a List of
User
objects. - Throws:
UserManagerException
-
userExists
boolean userExists(String principal) throws UserManagerException
true if the user exists, false if it doesn't- Parameters:
principal
-- Returns:
- true, if user exists
- Throws:
UserManagerException
-
deleteUser
void deleteUser(String username) throws UserNotFoundException, UserManagerException
Delete a user using the username.- Parameters:
username
- the username to look for.- Throws:
UserNotFoundException
- the user was not found.UserManagerException
-
addUserUnchecked
void addUserUnchecked(User user) throws UserManagerException
Add a user to the database without checking for consistency or adjusting the password. Should only be used for re-importing known-good data.- Parameters:
user
- the user to add- Throws:
UserManagerException
-
eraseDatabase
void eraseDatabase()
-
updateUser
User updateUser(User user, boolean passwordChangeRequired) throws UserNotFoundException, UserManagerException
-
initialize
void initialize()
consumer of user manager can use it to reload various configuration with the configurable implementation is possible to change dynamically the real implementation used.- Since:
- 2.1
-
isFinalImplementation
boolean isFinalImplementation()
- Returns:
- true if this implementation is a final one and not a wrapper (configurable, cached)
- Since:
- 2.1
-
getDescriptionKey
String getDescriptionKey()
- Returns:
- a key to be able to customize label in UI
- Since:
- 2.1
-
-


|
Apache Mesos
|
An abstraction around a socket (file descriptor). More...
#include <socket.hpp>
Public Types | |
| enum | Shutdown { Shutdown::READ, Shutdown::WRITE, Shutdown::READ_WRITE } |
Public Member Functions | |
| SocketImpl::Kind | kind () const |
Returns the kind representing the underlying implementation of the Socket instance. More... | |
| bool | operator== (const Socket &that) const |
| operator int_fd () const | |
| Try< AddressType > | address () const |
| Try< AddressType > | peer () const |
| int_fd | get () const |
| Try< AddressType > | bind (const AddressType &address) |
| Try< Nothing > | listen (int backlog) |
| Future< Socket > | accept () |
| Future< Nothing > | connect (const AddressType &address) |
| Future< size_t > | recv (char *data, size_t size) const |
| Future< size_t > | send (const char *data, size_t size) const |
| Future< size_t > | sendfile (int_fd fd, off_t offset, size_t size) const |
| Future< std::string > | recv (const Option< ssize_t > &size=None()) |
| Future< Nothing > | send (const std::string &data) |
| Try< Nothing > | shutdown (Shutdown shutdown=Shutdown::READ) |
| operator Socket< network::Address > () const | |
| template<> | |
| Try< Socket< network::Address > > | create (SocketImpl::Kind kind)=delete |
| template<> | |
| Try< Socket< network::Address > > | create (Address::Family family, SocketImpl::Kind kind) |
| template<> | |
| Try< Socket< inet::Address > > | create (SocketImpl::Kind kind) |
| template<> | |
| Try< Socket< inet::Address > > | create (Address::Family family, SocketImpl::Kind kind)=delete |
| template<> | |
| Try< Socket< unix::Address > > | create (SocketImpl::Kind kind) |
| template<> | |
| Try< Socket< unix::Address > > | create (Address::Family family, SocketImpl::Kind kind)=delete |
Static Public Member Functions | |
| static Try< Socket > | create (int_fd s, SocketImpl::Kind kind=SocketImpl::DEFAULT_KIND()) |
Returns an instance of a Socket using the specified kind of implementation. More... | |
| static Try< Socket > | create (SocketImpl::Kind kind=SocketImpl::DEFAULT_KIND()) |
Returns an instance of a Socket using AddressType to determine the address family to use. More... | |
| static Try< Socket > | create (Address::Family family, SocketImpl::Kind kind=SocketImpl::DEFAULT_KIND()) |
Returns an instance of a Socket using the specified Address::Family to determine the address family to use. More... | |
Friends | |
| template<typename T > | |
| class | Socket |
An abstraction around a socket (file descriptor).
Provides reference counting such that the socket is only closed (and thus, has the possiblity of being reused) after there are no more references.
|
strong |
|
inline |
|
inline |
|
inline |
|
inline |
|
inlinestatic |
|
static |
Returns an instance of a Socket
using AddressType
to determine the address family to use.
An optional implementation kind can be specified. The NONBLOCK and CLOEXEC options will be set on the underlying file descriptor for the socket.
| kind | Optional. The desired Socket implementation. |
Socket
.
|
static |
Returns an instance of a Socket
using the specified Address::Family
to determine the address family to use.
An optional implementation kind can be specified. The NONBLOCK and CLOEXEC options will be set on the underlying file descriptor for the socket.
NOTE: this is only defined for AddressType
of network::Address
, all others are explicitly deleted.
| kind | Optional. The desired Socket implementation. |
Socket
.
|
delete |
|
inline |
|
inline |
|
delete |
|
inline |
|
delete |
|
inline |
|
inline |
Returns the kind representing the underlying implementation of the Socket
instance.
|
inline |
|
inline |
|
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Genesis 37:5
And Joseph dreamed a dream, and he told it his brethren: and they hated him yet the more.


@XuanXuan007 @Acura6666 @ChicoCrypto @The_Blocknet The first swap they did between two unaltered wallets (see Sept 2015) was done in March 2015, under the XC banner. They also use a 4/4 method, not some hacky 7/7 swaps. Maybe the image creator should be less biased when do...